A Survey on Major Approaches for Image Restoration Techniques

Authors

  • Reena Meshram  Department of Computer Science and Engineering, Chhatrapati Shivaji Institute of Technology (CSIT), Durg, Chhattisgarh, India
  • Dr. Punyaban Patel  Department of Computer Science and Engineering, Chhatrapati Shivaji Institute of Technology (CSIT), Durg, Chhattisgarh, India

Keywords:

Blur Types, Image Restoration, Neural Networks, BPN (Back Propogation Network), Deblurring.

Abstract

Image deblurring and restoration is quintessential in digital photo processing. Picture deblurring is a system, which is used to make graphics sharp and useful with the aid of utilizing mathematical model. Photo deblurring have vast purposes from client pictures, for example dispose of movement blur as a result of digicam shake, to radar imaging and tomography, e.g., do away with the outcome of imaging approach response. There were many ways that had been proposed in this regard and in this paper we can examine distinct methods and tactics of Deblurring.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2016-02-29

Issue

Volume 2, Issue 1, January-February-2016

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Reena Meshram, Dr. Punyaban Patel, " A Survey on Major Approaches for Image Restoration Techniques, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 1, pp.455-458, January-February-2016.